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readme.md
stream-to-observable
Convert Node Streams into ECMAScript-Observables
Observables
are rapidly gaining popularity. They have much in common with Streams, in that they both represent data that arrives over time. Most Observable implementations provide expressive methods for filtering and mutating incoming data. Methods like .map()
, .filter()
, and .forEach
behave very similarly to their Array counterparts, so using Observables can be very intuitive.
Install
$ npm install --save stream-to-observable
# You also need to install an Observable implementation (pick one):
$ npm install --save zen-observable rxjs
Usage
const fs = require('fs');
const split = require('split');
// You provide the Observable implmentation
const Observable = require('zen-observable')
const streamToObservable = require('stream-to-observable')(Observable);
const readStream = fs
.createReadStream('./hello-world.txt', {encoding: 'utf8'})
.pipe(split()); // chunks a stream into individual lines
streamToObservable(readStream)
.filter(chunk => /hello/i.test(chunk))
.map(chunk => chunk.toUpperCase())
.forEach(chunk => {
console.log(chunk); // only the lines containing "hello" - and they will be capitalized
});
There are convenience imports for rxjs
observables and zen-observables
:
const streamToObservable = require('stream-to-observable/zen'); // zen-observables
// or
const streamToObservable = require('stream-to-observable/rxjs-all'); // full rxjs implementation
// or
const streamToObservable = require('stream-to-observable/rxjs'); // minimal rxjs implementation
// you can patch the minimal rxjs.
require('rxjs/add/operator/map');
None of the above implementations are included as dependencies of this package, so you still need to install them yourself using npm install
. If using the minimal rxjs
import, be sure to see the documentation regarding patching it with additional convenience methods.
API
streamToObservable(stream, [options])
stream
Type: ReadableStream
Note:
stream
can technically be any EventEmitter
instance. By default the stream-to-observable
listens to the standard Stream events (data
, error
, and end
), but those are configurable via the options
parameter. If you are using this with a standard Stream, you likely won't need the options
parameter.
options
await
Type: Promies
If provided, the Observable will not "complete" until await
is resolved. If await
is rejected, the Observable will immediately emit an error
event and disconnect from the stream. This is mostly useful when attaching to the stdin
or stdout
streams of a child_process
. Those streams usually do not emit error
events, even if the underlying process exits with an error. This provides a means to reject the Observable if the child process exits with an unexpected error code.
endEvent
Type: String
or false
Default: "end"
If you are using an EventEmitter
or non-standard Stream, you can change which event signals that the Observable should be completed.
Setting this to false
will avoid listening for any end events.
Setting this to false
and providing an await
Promise will cause the Observable to resolve immediately with the await
Promise (the Observable will remove all it's data
event listeners from the stream once the Promise is resolved).
errorEvent
Type: String
or false
Default: "error"
If you are using an EventEmitter
or non-standard Stream, you can change which event signals that the Observable should be closed with an error.
Setting this to false
will avoid listening for any error events.
dataEvent
Type: String
Default: "data"
If you are using an EventEmitter
or non-standard Stream, you can change which event causes data to be emitted to the Observable.
Learn about Observables
- Overview: https://github.com/zenparsing/es-observable
- Formal Spec: https://zenparsing.github.io/es-observable/
- egghead.io lesson - Video
rxjs
observables - Observables Implementationzen-observables
- Observables Implementation
Transform Streams
data
events on the stream will be emitted as events in the Observable. Since most native streams emit chunks
of binary data, you will likely want to use a TransformStream
to convert those chunks of binary data into an object stream. split
is just one popular TransformStream that splits streams into individual lines of text.
Caveats
It is important Note that using this module disables back-pressure controls on the stream. As such it should not be used where back-pressure throttling is required (i.e. high volume web servers). It still has value for larger projects, as it can make unit testing streams much cleaner.
License
MIT © James Talmage